As a comparison to the results in [1]}, we observed a few differences between our implementation and the author's reported results. More noticeably in the magnitude of tracker failures attained by the MCMC filter. Our number of failures, for both trackers, are considerably
higher than the ones achieved by the authors, even for the same
test set. Since we have used less frames, we had to scale the number of
failures linearly to their number of frames so that a comparison could
be made. One could argue that our number of frames are not characteristic
enough to extrapolate results to a higher number of frames. However, since the authors report results along a timescale containing all frames (of the original 10400 frame sequence), we were able to establish a comparison for the number of tracker failures they achieved for that frame span, which are still consistently lower than ours. Another argument could be that, because we converted the images to
gray scale levels, information was lost explaining their improved
performance. We find this very unlikely since the images, even in
RGB space, are composed of tones of gray so the conversion did not loose
much. With this, we arrive at no possible explanation for the difference in the
order of magnitude for the number of tracker failures, barring any unlikely implementation mistakes on our part. With the exception of the order of magnitude in the number of errors, the interaction aware tracker behaves as expected.
